Summary
Alejandro Schaffer is a computer scientist with over 10 years of focused experience in computational biology and a decades-long research career at the National Cancer Institute, NIH, where he studies cancer genomics, personalized oncology, and clinical trials. He holds a Ph.D. in Computer Science from Stanford and a BS in Applied Mathematics with Computer Science from Carnegie Mellon, combining rigorous theoretical training with applied biomedical research. Alejandro is a highly collaborative investigator and co-author on around 260 peer-reviewed publications, reflecting deep interdisciplinary partnerships and large-scale teamwork. His work bridges algorithmic and statistical methods with clinical applications, translating computational insights into actionable oncology research. Based in Frederick, Maryland, he brings a rare mix of academic depth and sustained government research leadership that advances precision medicine. An understated strength is his ability to coordinate extensive multi-author projects, turning complex data into reproducible, clinically relevant discoveries.
10 years of coding experience
B.S., Applied Mathematics (Computer Science), B.S., Applied Mathematics (Computer Science) at Carnegie Mellon University
Ph.D., Computer Science, Ph.D., Computer Science at Stanford University